DSS ATX: Human & Machine Working Across the Maturing Data Lifecycle
Across the breadth of topics covered by speakers over two (rainy) days at Data Science Salon in Austin, February 18 & 19, 2020, two major themes emerged: the maturation of the data lifecycle, and the intersection of humans and machines.
Operationalizing Data Science
Consider how the software development life cycle (SLDC) is well-defined at this point: planning, creating, testing, deploying, maintaining – or some variant, depending on your software methodology. The gist remains consistent. Computer software runs “logic” in hardware, the test suites are.
Time Series Analysis with Pandas
This talk by Joshua Malina, Senior Machine Learning Engineer at AMEX, focuses on how Pandas makes time series data investigation more accessible.
AI and the Index Management Problem
This blog post by Douglas Hamilton, Chief Data Scientist and Managing Director of NASDAQ’s Machine Intelligence Lab, explores applying machine learning to the portfolio management problem to derive better indexes.
Medical Content Management Concepts And A Roadmap To Support Clinical Decision Support Software In A Global Marketplace
This post is adapted from a talk by Charles Alcorn – Head of Data Science at Roche Molecular Systems and describes medical content management concepts for the field of Oncology.
Automated Forecasting using AutoTS in RemixAutoML for R
If you are having the following symptoms at your company when it comes to business KPI forecasting, then maybe you need to look at automated forecasting:
Using Data Science for Digital Transformation at Carnival Cruise Line
At most companies, a data scientist’s main objective is to determine how machine learning technologies can revolutionize business procedures. In his insightful talk in February 2018 at Data Science Salon Miami, Mark Fridson Principal Data Scientist at Carnival Cruise Line, explores how the right.
How is Synthetic Media Transforming the Media Landscape?
We live in a society that can be resistant to change, especially when it comes to technology. But according to Justin Hendrix, Executive Director of New York City Media Lab, the discussions surrounding AR and VR are hardly different from debates that surely arose during the installment of the first.
Algorithmic Recommendations at The New York Times
Staying updated in our vastly changing world is very important, but breaking news is not the only content out there. Anna Coenen, Senior Data Scientist at the New York Times, is determined to make sure that evergreen content reaches the audience that will value it the most. She’s using algorithms.
Data Science Salon Miami Speakers Speak On Major AI Trends Affecting Their Industries
In advance of the Data Science Salon taking place in Miami from September 11 to 13, we asked our speakers to shed some light on how Artificial Intelligence and Machine Learning are impacting three of America’s largest industries. Whether these data science practitioners have been working in the.
